Search Results for author: Qing Wang

Found 90 papers, 21 papers with code

A Unified Object Counting Network with Object Occupation Prior

no code implementations29 Dec 2022 Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu

In this paper, we build the first evolving object counting dataset and propose a unified object counting network as the first attempt to address this task.

Crowd Counting Object Counting

Performance Evaluation, Optimization and Dynamic Decision in Blockchain Systems: A Recent Overview

no code implementations29 Nov 2022 Quan-Lin Li, Yan-Xia Chang, Qing Wang

We believe that the basic theory with mathematical methods, algorithms and simulations of blockchain systems discussed in this paper will strongly support future development and continuous innovation of blockchain technology.

Federated Learning

A SVD-based Dynamic Harmonic Phasor Estimator with Improved Suppression of Out-of-Band Interference

no code implementations16 Nov 2022 Dongfang Zhao, Shisong Li, Fuping Wang, Wei Zhao, Songling Huang, Qing Wang

The diffusion of nonlinear loads and power electronic devices in power systems deteriorates the signal environment and increases the difficulty of measuring harmonic phasors.

Preserving background sound in noise-robust voice conversion via multi-task learning

no code implementations6 Nov 2022 Jixun Yao, Yi Lei, Qing Wang, Pengcheng Guo, Ziqian Ning, Lei Xie, Hai Li, Junhui Liu, Danming Xie

Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios.

Multi-Task Learning Voice Conversion

Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling

no code implementations6 Nov 2022 Jixun Yao, Qing Wang, Yi Lei, Pengcheng Guo, Lei Xie, Namin Wang, Jie Liu

By directly scaling the formant and F0, the speaker distinguishability degradation of the anonymized speech caused by the introduction of other speakers is prevented.

Speaker Verification

Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function

no code implementations26 Oct 2022 Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee

In this paper, we propose a deep learning based multi-speaker direction of arrival (DOA) estimation with audio and visual signals by using permutation-free loss function.

TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challenge

no code implementations26 Oct 2022 Bowen Pang, Huan Zhao, Gaosheng Zhang, Xiaoyue Yang, Yang Sun, Li Zhang, Qing Wang, Lei Xie

In this challenge, we explore three kinds of typical speaker diarization systems, which are spectral clustering(SC) based diarization, target-speaker voice activity detection(TS-VAD) and end-to-end neural diarization(EEND) respectively.

Action Detection Activity Detection +2

NWPU-ASLP System for the VoicePrivacy 2022 Challenge

no code implementations24 Sep 2022 Jixun Yao, Qing Wang, Li Zhang, Pengcheng Guo, Yuhao Liang, Lei Xie

Our system consists of four modules, including feature extractor, acoustic model, anonymization module, and neural vocoder.

Speaker Verification

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies

no code implementations21 Sep 2022 Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li

Modern meta-reinforcement learning (Meta-RL) methods are mainly developed based on model-agnostic meta-learning, which performs policy gradient steps across tasks to maximize policy performance.

Continuous Control Meta-Learning +3

Automatic Comment Generation via Multi-Pass Deliberation

1 code implementation14 Sep 2022 Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Then, we treat the comment of the retrieved code as the initial draft and input it with the code and keywords into DECOM to start the iterative deliberation process.

Tensor Decomposition based Personalized Federated Learning

no code implementations27 Aug 2022 Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li

Federated learning (FL) is a new distributed machine learning framework that can achieve reliably collaborative training without collecting users' private data.

Model Optimization Personalized Federated Learning +1

Restructuring Graph for Higher Homophily via Learnable Spectral Clustering

no code implementations6 Jun 2022 Shouheng Li, Dongwoo Kim, Qing Wang

While a growing body of literature has been studying new Graph Neural Networks (GNNs) that work on both homophilic and heterophilic graphs, little work has been done on adapting classical GNNs to less-homophilic graphs.

Node Classification

Epipolar Focus Spectrum: A Novel Light Field Representation and Application in Dense-view Reconstruction

no code implementations1 Apr 2022 Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang

Existing light field representations, such as epipolar plane image (EPI) and sub-aperture images, do not consider the structural characteristics across the views, so they usually require additional disparity and spatial structure cues for follow-up tasks.

CardioID: Mitigating the Effects of Irregular Cardiac Signals for Biometric Identification

no code implementations30 Mar 2022 Weizheng Wang, Marco Zuniga, Qing Wang

In this work, we analyze cardiac signals collected in more realistic (uncontrolled) scenarios and show that their high signal variability (i. e., irregularity) makes it harder to obtain stable and distinct user features.

Sparse Federated Learning with Hierarchical Personalized Models

no code implementations25 Mar 2022 Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang

Federated learning (FL) can achieve privacy-safe and reliable collaborative training without collecting users' private data.

Autonomous Vehicles Federated Learning

MatchFormer: Interleaving Attention in Transformers for Feature Matching

1 code implementation17 Mar 2022 Qing Wang, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen

While detector-based methods coupled with feature descriptors struggle in low-texture scenes, CNN-based methods with a sequential extract-to-match pipeline, fail to make use of the matching capacity of the encoder and tend to overburden the decoder for matching.

Homography Estimation Pose Estimation +1

Knowledge Tracing: A Survey

no code implementations8 Jan 2022 Ghodai Abdelrahman, Qing Wang, Bernardo Pereira Nunes

A human teacher can track the knowledge of students to customize the teaching on students needs.

Knowledge Tracing

Fast and Unsupervised Action Boundary Detection for Action Segmentation

no code implementations CVPR 2022 Zexing Du, Xue Wang, Guoqing Zhou, Qing Wang

To deal with the great number of untrimmed videos produced every day, we propose an efficient unsupervised action segmentation method by detecting boundaries, named action boundary detection (ABD).

Action Segmentation Boundary Detection +1

Deep Open Set Identification for RF Devices

no code implementations5 Dec 2021 Qing Wang, Qing Liu, Zihao Zhang, HaoYu Fang, Xi Zheng

Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process.

NeurSF: Neural Shading Field for Image Harmonization

no code implementations2 Dec 2021 Zhongyun Hu, Ntumba Elie Nsampi, Xue Wang, Qing Wang

In this paper, we decompose the image harmonization into two sub-problems: 1) illumination estimation of background images and 2) rendering of foreground objects.

Image Harmonization Neural Rendering

HDR-NeRF: High Dynamic Range Neural Radiance Fields

no code implementations CVPR 2022 Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang

The key to our method is to model the physical imaging process, which dictates that the radiance of a scene point transforms to a pixel value in the LDR image with two implicit functions: a radiance field and a tone mapper.

Learning Data Teaching Strategies Via Knowledge Tracing

no code implementations13 Nov 2021 Ghodai Abdelrahman, Qing Wang

In this paper, we propose a novel method, called Knowledge Augmented Data Teaching (KADT), which can optimize a data teaching strategy for a student model by tracing its knowledge progress over multiple learning concepts in a learning task.

Image Classification Knowledge Tracing +2

A Regularized Wasserstein Framework for Graph Kernels

1 code implementation6 Oct 2021 Asiri Wijesinghe, Qing Wang, Stephen Gould

This framework provides a novel optimal transport distance metric, namely Regularized Wasserstein (RW) discrepancy, which can preserve both features and structure of graphs via Wasserstein distances on features and their local variations, local barycenters and global connectivity.

Multiple Intelligent Reflecting Surface aided Multi-user Weighted Sum-Rate Maximization using Manifold Optimization

no code implementations29 Sep 2021 Liyue Zhang, Qing Wang, Haozhi Wang

Intelligent reflecting surface (IRS) are able to amend radio propagation condition tasks on account of its functional properties in phase shift optimizing.

A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"

1 code implementation ICLR 2022 Asiri Wijesinghe, Qing Wang

To elaborate this framework, we propose a novel neural model, called GraphSNN, and prove that this model is strictly more expressive than the Weisfeiler Lehman test in distinguishing graph structures.

Graph Learning

Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing

no code implementations18 Aug 2021 Ghodai Abdelrahman, Qing Wang

Further, this model has the capability of learning relationships between latent concepts from a dynamic latent concept graph in light of a student's evolving knowledge states.

Knowledge Tracing

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

no code implementations12 Aug 2021 Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang

In the second stage, the deep visual, shallow visual, and text features are extracted for fusion to identify the category blocks of documents.

Document Layout Analysis

Structured Directional Pruning via Perturbation Orthogonal Projection

no code implementations12 Jul 2021 Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng

Structured pruning is an effective compression technique to reduce the computation of neural networks, which is usually achieved by adding perturbations to reduce network parameters at the cost of slightly increasing training loss.

Sparse Personalized Federated Learning via Maximizing Correlation

no code implementations12 Jul 2021 Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

By incorporating an approximated L1-norm and the correlation between client models and global model into standard FL loss function, the performance on statistical diversity data is improved and the communicational and computational loads required in the network are reduced compared with non-sparse FL.

Personalized Federated Learning

The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems

no code implementations1 Jul 2021 Qing Wang

In today's business marketplace, many high-tech Internet enterprises constantly explore innovative ways to provide optimal online user experiences for gaining competitive advantages.

Recommendation Systems

Episode Adaptive Embedding Networks for Few-shot Learning

1 code implementation17 Jun 2021 Fangbing Liu, Qing Wang

Few-shot learning aims to learn a classifier using a few labelled instances for each class.

Few-Shot Learning Metric Learning

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction

1 code implementation27 May 2021 Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen

Our framework provides the functionality to control the movement of the drone with simple arm gestures and to follow the user while keeping a safe distance.

Pose Estimation

Explore BiLSTM-CRF-Based Models for Open Relation Extraction

no code implementations26 Apr 2021 Tao Ni, Qing Wang, Gabriela Ferraro

Extracting multiple relations from text sentences is still a challenge for current Open Relation Extraction (Open RE) tasks.

Relation Extraction

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

no code implementations26 Mar 2021 Sean Li, Dongwoo Kim, Qing Wang

The proposed model is shown to generalize well to both homophilic and heterophilic graphs.

Node Classification

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud

no code implementations17 Feb 2021 Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd

The process of continuous integration/deployment (CICD) in cloud connects developers who need to deliver value faster and more transparently with site reliability engineers (SREs) who need to manage applications reliably.

Machine learning accelerated computational fluid dynamics

no code implementations28 Jan 2021 Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer

Numerical simulation of fluids plays an essential role in modeling many physical phenomena, such as weather, climate, aerodynamics and plasma physics.

BIG-bench Machine Learning

Deep Anti-aliasing of Whole Focal Stack Using Slice Spectrum

no code implementations23 Jan 2021 Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang

Based on these two observations, we propose a learning-based FSS reconstruction approach for one-time aliasing removing over the whole focal stack.

Depth Estimation

Chiral effective Lagrangian for excited heavy-light mesons from QCD

no code implementations18 Jan 2021 Qing-Sen Chen, Hui-Feng Fu, Yong-Liang Ma, Qing Wang

We derive the chiral effective Lagrangian for excited heavy-light mesons from QCD under proper approximations.

High Energy Physics - Phenomenology

Global Node Attentions via Adaptive Spectral Filters

no code implementations1 Jan 2021 Shouheng Li, Dongwoo Kim, Qing Wang

The proposed model has been shown to generalize well to both assortative and disassortative graphs.

Node Classification

ErGAN: Generative Adversarial Networks for Entity Resolution

no code implementations18 Dec 2020 Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm

Entity resolution targets at identifying records that represent the same real-world entity from one or more datasets.

Entity Resolution

Chiral effective Lagrangian for heavy-light mesons from QCD: $1/m_{Q}$ correction

no code implementations7 Dec 2020 Qing-Sen Chen, Hui-Feng Fu, Yong-Liang Ma, Qing Wang

The low energy constants in the effective Lagrangian are expressed in terms of the light quark self-energy and heavy quark mass $m_Q$.

High Energy Physics - Phenomenology

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning

1 code implementation13 Nov 2020 Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

In this paper, we develop a computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR.

Image Super-Resolution Single Image Super Resolution

Frequency Gating: Improved Convolutional Neural Networks for Speech Enhancement in the Time-Frequency Domain

no code implementations8 Nov 2020 Koen Oostermeijer, Qing Wang, Jun Du

One of the strengths of traditional convolutional neural networks (CNNs) is their inherent translational invariance.

Speech Enhancement

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data

no code implementations15 Oct 2020 Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-fan Chen, John Anderson

Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness.

BIG-bench Machine Learning Management

PEL-BERT: A Joint Model for Protocol Entity Linking

no code implementations28 Jan 2020 Shoubin Li, Wenzao Cui, Yujiang Liu, Xuran Ming, Jun Hu, YuanzheHu, Qing Wang

Pre-trained models such as BERT are widely used in NLP tasks and are fine-tuned to improve the performance of various NLP tasks consistently.

Entity Linking Language Modelling

Divergence-Augmented Policy Optimization

1 code implementation NeurIPS 2019 Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang

In deep reinforcement learning, policy optimization methods need to deal with issues such as function approximation and the reuse of off-policy data.

Atari Games Policy Gradient Methods +2

Knowledge Tracing with Sequential Key-Value Memory Networks

no code implementations29 Oct 2019 Ghodai Abdelrahman, Qing Wang

Although these deep learning models have shown promising results, they have limitations: either lack the ability to go deeper to trace how specific concepts in a knowledge state are mastered by a student, or fail to capture long-term dependencies in an exercise sequence.

Knowledge Tracing Management

DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters

1 code implementation NeurIPS 2019 Asiri Wijesinghe, Qing Wang

We propose a novel spectral convolutional neural network (CNN) model on graph structured data, namely Distributed Feedback-Looped Networks (DFNets).

Document Classification General Classification +1

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

no code implementations10 Sep 2019 Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Yaoming Zhu, Ming Zhou, Wei-Nan Zhang, Qing Wang, Yong Yu

Although existing works formulate this problem into a centralized learning with decentralized execution framework, which avoids the non-stationary problem in training, their decentralized execution paradigm limits the agents' capability to coordinate.

Multi-agent Reinforcement Learning reinforcement-learning +1

Learning to Sample: an Active Learning Framework

no code implementations9 Sep 2019 Jingyu Shao, Qing Wang, Fangbing Liu

However, current learning-based active learning approaches still require sufficient training data so as to generalize meta-learning models for active learning.

Active Learning Entity Resolution +2

Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

no code implementations15 May 2019 Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin

Finally, a GCC module is applied to model the correlation between all regions by computing a global correlation feature as a weighted sum of all regional features, with the weights being calculated as the similarity between the corresponding region pairs.

Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition

no code implementations22 Apr 2019 Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin

Specifically, by analyzing the symbiosis and mutual exclusion of AUs in various facial expressions, we organize the facial AUs in the form of structured knowledge-graph and integrate a Gated Graph Neural Network (GGNN) in a multi-scale CNN framework to propagate node information through the graph for generating enhanced AU representation.

Facial Action Unit Detection Representation Learning

Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise

no code implementations19 Mar 2019 Yuefeng Chen, Qing Wang

However, the self-updating scheme makes these methods suffer from drifting problem because of the incorrect labels of weak classifiers in training samples.

Visual Tracking

Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

no code implementations15 Feb 2019 Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly

We prove that the light field is a 2D series, thus, a specifically designed CNN-LSTM network is proposed to capture the continuity property of the EPI.


Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning

no code implementations10 Dec 2018 Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin

In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network~(BB-FCN) for rapidly and accurately localizing facial landmarks in unconstrained and cluttered settings.

Face Alignment Face Detection +2

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

3 code implementations19 Sep 2018 Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang

Both TStarBot1 and TStarBot2 are able to defeat the built-in AI agents from level 1 to level 10 in a full game (1v1 Zerg-vs-Zerg game on the AbyssalReef map), noting that level 8, level 9, and level 10 are cheating agents with unfair advantages such as full vision on the whole map and resource harvest boosting.

Decision Making Starcraft +1

A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras

no code implementations7 Aug 2018 Qi Zhang, Chunping Zhang, Jinbo Ling, Qing Wang, Jingyi Yu

Based on the MPC model and projective transformation, we propose a calibration algorithm to verify our light field camera model.

3D Reconstruction

End-to-end driving simulation via angle branched network

no code implementations19 May 2018 Qing Wang, Long Chen, Wei Tian

Imitation learning for end-to-end autonomous driving has drawn attention from academic communities.

Autonomous Driving Imitation Learning +1

Light Field Segmentation From Super-pixel Graph Representation

no code implementations20 Dec 2017 Xianqiang Lv, Hao Zhu, Qing Wang

The large volume of input data and the redundancy of light field make it an open challenge.

MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews

no code implementations IJCNLP 2017 Wei Xue, Wubai Zhou, Tao Li, Qing Wang

Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities.

Extract Aspect General Classification +4

Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms

no code implementations10 Aug 2017 Qing Wang, Chunqiu Zeng, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik

To address these issues, collaborative filtering (CF), one of the recommendation techniques relying on the interaction data only, as well as the online multi-armed bandit mechanisms, capable of achieving the balance between exploitation and exploration, are adopted in the online interactive recommendation settings, by assuming independent items (i. e., arms).

Collaborative Filtering Recommendation Systems

4D Light Field Superpixel and Segmentation

no code implementations CVPR 2017 Hao Zhu, Qi Zhang, Qing Wang

Superpixel segmentation of 2D image has been widely used in many computer vision tasks.

Collective Vertex Classification Using Recursive Neural Network

no code implementations24 Jan 2017 Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu

In this paper, we propose a graph-based recursive neural network framework for collective vertex classification.

Classification General Classification

Towards Evidence-Based Ontology for Supporting Systematic Literature Review

no code implementations22 Sep 2016 Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang

[Conclusions]: The approach of using ontology could effectively and efficiently support the conducting of systematic literature review.

Discovering and Deciphering Relationships Across Disparate Data Modalities

4 code implementations16 Sep 2016 Joshua T. Vogelstein, Eric Bridgeford, Qing Wang, Carey E. Priebe, Mauro Maggioni, Cencheng Shen

Understanding the relationships between different properties of data, such as whether a connectome or genome has information about disease status, is becoming increasingly important in modern biological datasets.

Unconstrained Two-parallel-plane Model for Focused Plenoptic Cameras Calibration

no code implementations16 Aug 2016 Chunping Zhang, Zhe Ji, Qing Wang

The geometry of the recovered scene structure is affected by the calibration of the plenoptic camera significantly.

3D Reconstruction Association

DARI: Distance metric And Representation Integration for Person Verification

no code implementations15 Apr 2016 Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang

The past decade has witnessed the rapid development of feature representation learning and distance metric learning, whereas the two steps are often discussed separately.

Ranked #7 on Person Re-Identification on SYSU-30k (using extra training data)

Metric Learning Person Re-Identification +1

Data-Driven Scene Understanding with Adaptively Retrieved Exemplars

no code implementations3 Feb 2015 Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, Jian-Huang Lai

In the first step, the references are selected by jointly matching their appearances with the target as well as the semantics (i. e. the assigned labels of the target and the references).

Scene Understanding Semantic Segmentation +1

Aliasing Detection and Reduction in Plenoptic Imaging

no code implementations CVPR 2014 Zhaolin Xiao, Qing Wang, Guoqing Zhou, Jingyi Yu

When using plenoptic camera for digital refocusing, angular undersampling can cause severe (angular) aliasing artifacts.


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